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Distributed Description Logics: Assimilating Information from Peer Sources

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Journal on Data Semantics I

Part of the book series: Lecture Notes in Computer Science ((JODS,volume 2800))

Abstract

Due to the availability on the Internet of a wide variety of sources of information on related topics, the problem of providing seamless, integrated access to such sources has become (again) a major research challenge. Although this problem has been studied for several decades, there is a need for a more refined approach in those cases where the original sources maintain their own independent view of the world. In particular, we investigate those situations where there may not be a simple one-to-one mapping between the individuals in the domains of the various Information Sources.

Since Description Logics have already served successfully in information integration and as ontology languages, we extend this formalism with the ability to handle complex mappings between domains, through the use of so-called “bridge rules”. We investigate, among others, the exploitation of bridge rules to deduce new information, especially subsumption relationships between concepts in local information sources.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Rutgers University, New Brunswick, USA

    Alex Borgida

  2. ITC-IRST, Trento, Italy

    Luciano Serafini

Authors
  1. Alex Borgida
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  2. Luciano Serafini
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Editor information

Editors and Affiliations

  1. EPFL-IC-IIF-LBD, Station 14 - INJ 236, 1015, Lausanne, Switzerland

    Stefano Spaccapietra

  2. Owen Graduate School of Management, Vanderbilt University, Nashville, TN, USA

    Sal March

  3. School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015, Lausanne, Switzerland

    Karl Aberer

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Borgida, A., Serafini, L. (2003). Distributed Description Logics: Assimilating Information from Peer Sources. In: Spaccapietra, S., March, S., Aberer, K. (eds) Journal on Data Semantics I. Lecture Notes in Computer Science, vol 2800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39733-5_7

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  • DOI: https://doi.org/10.1007/978-3-540-39733-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20407-7

  • Online ISBN: 978-3-540-39733-5

  • eBook Packages: Springer Book Archive

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